Discovery Science

Invited Papers.- Invention and Artificial Intelligence.- Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources.- Training Support Vector Machines via SMO-Type Decomposition Methods.- The Robot Scientist Project.- The Arrowsmith Project: 2005 Status Report.- Regular Contributions - Long Papers.- Practical Algorithms for Pattern Based Linear Regression.- Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach.- Bias Management of Bayesian Network Classifiers.- A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud's/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space.- Assisting Scientific Discovery with an Adaptive Problem Solver.- Cross-Language Mining for Acronyms and Their Completions from the Web.- Mining Frequent ?-Free Patterns in Large Databases.- An Experiment with Association Rules and Classification: Post-Bagging and Conviction.- Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree.- Support Vector Inductive Logic Programming.- Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences.- The q-Gram Distance for Ordered Unlabeled Trees.- Monotone Classification by Function Decomposition.- Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces.- An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations.- Pattern Classification via Single Spheres.- SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos.- Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain.- Massive Biomedical Term Discovery.- Active Constrained Clustering by Examining Spectral Eigenvectors.- Learning Ontology-Aware Classifiers.- Regular Contributions - Regular Papers.-